TIE-GCM (thermosphere-ionosphere-electrodynamics general circulation model) is a three-dimensional, time-dependent, physics-based model of the thermosphere and ionosphere (https://doi.org/10.1029/92GL00401). The website http://www.hao.ucar.edu/modeling/tgcm hosts the open-source TIE-GCM code. TIE-GCM assumes hydrostatic equilibrium, constant gravity, steady-state ion and electron energy equations, and incompressibility on a constant pressure surface
In this experiment, we use TIE-GCM version 2.0 (released on 21 March 2016) with a horizontal resolution of 2.5 by 2.5 in geographic latitude and longitude, and a vertical resolution of 0.25 scale-height. We specify the solar irradiance input to the model via an empirical solar proxy model—the extreme ultraviolet flux model for aeronomic calculations (EUVAC; https://doi.org/10.1029/94JA00518; https://doi.org/10.1029/2005JA011160). This empirical formulation uses the average of the daily solar flux F10.7 and its 81-day centred mean. Here, we use the value observed by the ground-based solar radio telescope, as it is more suitable for upper-atmospheric applications than the F10.7 adjusted for Earth-Sun distance. We use the Kp index-based ion convection model of Heelis et al. (1982; https://doi.org/10.1029/JA087iA08p06339) and the auroral particle precipitation scheme of Roble and Ridley (1987; https://ui.adsabs.harvard.edu/abs/1987AnGeo...5..369R) with modifications of Emery et al. (2012; http://doi.org/10.5065/D6N29TXZ) to specify the magnetospheric forcing, which describes the high-latitude mean energy, energy flux and electric potential. To account for the tidal forcing from the lower atmosphere, we use the global scale wave model (GSWM) of Hagan et al. (2001; https://doi.org/10.1029/2000JA000344) to perturb the lower boundary of the TIE-GCM. Here, the GSWM specifies the migrating diurnal and semidiurnal and the nonmigrating diurnal and semidiurnal tides, which add perturbations to the zonal mean neutral temperature and horizontal winds, among others. We also add perturbations to the advective and diffusive transport via the eddy diffusion coefficient described in Qian et al. (2009; https://doi.org/10.1029/2008JA013643).
Through this experiment, we provide access to the following diagnostic quantities at a cadence of 10 minutes:
Neutral zonal wind,
Neutral meridional wind,
Neutral vertical wind,
Total neutral mass density,
TEC: total electron content,
BX/BMAG: normalized eastward component of magnetic field,
BY/BMAG: normalized northward component of magnetic field,
BZ/BMAG: normalized upward component of magnetic field,
BMAG: magnetic field magnitude,
Zonal ExB velocity,
Meridional ExB velocity,
Vertical ExB velocity,
Zonal component of electric field,
Meridional component of electric field,
Vertical component of electric field,
Magnetic eastward component of electric field,
Magnetic downward (equatorward) component of electric field,
Geometric height ZG,
Pedersen ion drag coefficient,
Hall ion drag coefficient,
Aurora energy flux,
Aurora number flux.
Kodikara, Timothy (2023). The open time-series of the high-resolution ionosphere-thermosphere aeronomic climate simulation (OTHITACS). World Data Center for Climate (WDCC) at DKRZ. https://doi.org/10.26050/WDCC/OTHITACS_tiegcm
The netcdf files store the model variables on a global grid with a time resolution of 10 minutes. The spatial resolution is 2.5 by 2.5 degrees latitud...
The netcdf files store the model variables on a global grid with a time resolution of 10 minutes. The spatial resolution is 2.5 by 2.5 degrees latitude and longitude and 0.25 scale-height in the vertical, which is approximately 97 to 500 km altitude. The netcdf files provide full attributes describing units, dimensions, missing values and data type for each model variable.
F-UJI result: total 66 %
Summary: Findable: 6 of 7 level; Accessible: 2 of 3 level; Interoperable: 3 of 4 level; Reusable: 5 of 10 level
SQA - Scientific Quality Assurance 'approved by author'
Technical Quality Assurance (TQA)
TQA - Technical Quality Assurance 'approved by WDCC'
1. Number of data sets is correct and > 0: passed; 2. Size of every data set is > 0: passed; 3. The data sets and corresponding metadata are accessible: passed; 4. The data sizes are controlled and correct: passed; 5. The spatial-temporal coverage description (metadata) is consistent to the data, time steps are correct and the time coordinate is continuous: passed; 6. The format is correct: passed; 7. Variable description and data are consistent: spot checks passed
Checks performed by WDCC. The list of TQA metrics are documented in the 'WDCC User Guide for Data Publication' Chapter 8.1.1
 Roble, R. G.; Ridley, E. C. (1987). An auroral model for the NCAR thermospheric general circulation model (TGCM).
 DOIEmery, B. A.; Roble, R. G.; Ridley, E. C.; Richmond, A. D.; Knipp, D. J.; Crowley, G.; Maeda, S. (2012). Parameterization of the ion convection and the auroral oval in the NCAR Thermospheric General Circulation Models (No. NCAR/TN-491+STR). doi:10.5065/D6N29TXZ